Save Relationships
Before They're at Risk
Client churn doesn't happen suddenly. There are always warning signs—you just couldn't see them before. Now you can.
Early Warning Signals
The platform surfaces these signals weeks before they become problems
Sentiment Trending Negative
AI detects frustration in communications before it becomes a complaint
Response Time Increasing
Tickets taking longer to acknowledge or resolve than usual
Escalation Frequency Rising
More issues being escalated than historical patterns
Communication Gaps
Less proactive outreach, fewer status updates
From Reactive to Proactive
Finding out a client is unhappy when they call to cancel
Seeing early warning signs 2-3 weeks before sentiment turns negative
Reacting to complaints after the damage is done
Proactively intervening when signals first appear
Quarterly business reviews reveal problems months old
Real-time health scores you can act on today
Guessing which clients need attention
Prioritized list of at-risk relationships
Client Health Score
A single number that tells you where to focus
What Drives the Score
Aggregated satisfaction from resolved tickets
How quickly we engage and resolve
Frequency vs. historical baseline
Proactive updates and clarity
Tone of client communications
Are we delivering value?
How You'll Use It
Check which clients moved up or down
Know exactly who needs a call this week
See if interventions are working
Data-backed talking points for every client
See Client Health in Action
Watch how Client Health scoring works in the TECHS Command Centre
Powered by Real Interaction Data
Client Health isn't a survey or a guess. It's calculated from every ticket, call, and email— the actual experience clients have with your team, analyzed automatically.
The Impact of Early Warning
Related Solutions
Ready to Save More Clients?
See the warning signs before it's too late. Protect your recurring revenue.
Further Reading
From Reactive to Predictive: How AI is Transforming MSP Operations
The shift from reactive firefighting to strategic, predictive operations — what it looks like in real service desks.
Beyond Cost Savings: MSPs Generating $250K+ ARR with White-Labeled AI
The biggest AI opportunity is not cost savings — it is new recurring revenue from reselling white-labeled AI.
The Complete Guide to AI-Powered Service Desk Automation for MSPs
A practical guide to AI service desk automation — triage, auto-documentation, voice agents, email agents, and the metrics that move the P&L.